Abstract
A new method based on the backpropagation multilayered perceptron network for calculating the bandwidth of resonant rectangular microstrip patch antennas is presented The method can be used for a wide range of substrate thicknesses and permittivities, and is useful for the computer-aided design (CAD) of microstrip antennas. The results obtained by using this new method are in conformity with those reported elsewhere. This method may find wide applications in high-frequency printed antennas, especially at the millimeter-wave frequency range.
Highlights
Microstrip antennas have sparked interest among researchers because of their many advantages over conventional antennas, advantages such as low cost, light weight, conformal structure, low profile, reproducibility, reliability, ease in fabrication and integration with solid-state devices, etc. [1,2,3,4,5,6,7,8,9,10,11,12]
The need for greater bandwidth is another major reason for studying thick substrate microstrip antennas. This problem, the bandwidth aspect, has received considerable attention. Some popular methods, such as the cavity model methods [1] and the transmission line models [I] are simple and successful in the analysis of microstrip antennas, and in calculating the bandwidth of rectangular microstrip patch antennas
In previous works [IS18], we successfully introduced a neural model to compute the resonant frequency of the triangular and circular microstrip antennas and the resonant resistance of rectangular microstrip antennas
Summary
Microstrip antennas have sparked interest among researchers because of their many advantages over conventional antennas, advantages such as low cost, light weight, conformal structure, low profile, reproducibility, reliability, ease in fabrication and integration with solid-state devices, etc. [1,2,3,4,5,6,7,8,9,10,11,12]. This problem, the bandwidth aspect, has received considerable attention Some popular methods, such as the cavity model methods [1] (radiation losses are included in the effective loss tangent of the dielectric) and the transmission line models [I] (radiation losses are included in the attenuation coefficient of the propagation constant) are simple and successful in the analysis of microstrip antennas, and in calculating the bandwidth of rectangular microstrip patch antennas. From the studies cited above we see that the certain way of calculating the bandwidth of rectangular microstrip antennas involves the complicated Green's function methods and integral transformation techniques [1,4,5,6]. This article presents a new model based on the backpropagation multilayered perceptron network to find accurately the bandwidth of both electrically thin and thick rectangular microstrip antennas This proposed neural model does not require the complicated Green's function methods and integral transformation techniques.
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